Ai Chatbots Can Sway Voters With Remarkable Ease Is It Time To Worry

Bonisiwe Shabane

-Dec 6, 2025, 7:05 AM

ai chatbots can sway voters with remarkable ease is it time to worry

Chatbots have the potential to sway democratic elections — and the most persuasive methods tend to introduce factual inaccuracies.Credit: Marcus Harrison/Alamy Artificial-intelligence chatbots can influence voters in major elections — and have a bigger effect on people’s political views than conventional campaigning and advertising. A study published today in Nature1 found that participants’ preferences in real-world elections swung by up to 15 percentage points after conversing with a chatbot. In a related paper published in Science2, researchers showed that these chatbots’ effectiveness stems from their ability to synthesize a lot of information in a conversational way. AI is more persuasive than people in online debates The findings showcase the persuasive power of chatbots, which are used by more than one hundred million users each day, says David Rand, an author of both studies and a cognitive scientist at Cornell...

AI Chatbots Are Shockingly Good at Political Persuasion Chatbots can measurably sway voters’ choices, new research shows. The findings raise urgent questions about AI’s role in future elections By Deni Ellis Béchard edited by Claire Cameron Stickers sit on a table during in-person absentee voting on November 01, 2024 in Little Chute, Wisconsin. Election day is Tuesday November 5.

Forget door knocks and phone banks—chatbots could be the future of persuasive political campaigns. A conversation with a chatbot can shift people's political views—but the most persuasive models also spread the most misinformation. In 2024, a Democratic congressional candidate in Pennsylvania, Shamaine Daniels, used an AI chatbot named Ashley to call voters and carry on conversations with them. “Hello. My name is Ashley, and I’m an artificial intelligence volunteer for Shamaine Daniels’s run for Congress,” the calls began. Daniels didn’t ultimately win.

But maybe those calls helped her cause: New research reveals that AI chatbots can shift voters’ opinions in a single conversation—and they’re surprisingly good at it. A multi-university team of researchers has found that chatting with a politically biased AI model was more effective than political advertisements at nudging both Democrats and Republicans to support presidential candidates of the opposing... The chatbots swayed opinions by citing facts and evidence, but they were not always accurate—in fact, the researchers found, the most persuasive models said the most untrue things. The findings, detailed in a pair of studies published in the journals Nature and Science, are the latest in an emerging body of research demonstrating the persuasive power of LLMs. They raise profound questions about how generative AI could reshape elections. “One conversation with an LLM has a pretty meaningful effect on salient election choices,” says Gordon Pennycook, a psychologist at Cornell University who worked on the Nature study.

LLMs can persuade people more effectively than political advertisements because they generate much more information in real time and strategically deploy it in conversations, he says. A short interaction with a chatbot can meaningfully shift a voter’s opinion about a presidential candidate or proposed policy in either direction, new Cornell research finds. The potential for artificial intelligence to affect election results is a major public concern. Two new papers – with experiments conducted in four countries – demonstrate that chatbots powered by large language models (LLMs) are quite effective at political persuasion, moving opposition voters’ preferences by 10 percentage points... The LLMs’ persuasiveness comes not from being masters of psychological manipulation, but because they come up with so many claims supporting their arguments for candidates’ policy positions. “LLMs can really move people’s attitudes towards presidential candidates and policies, and they do it by providing many factual claims that support their side,” said David Rand ’04, professor in the Cornell Ann S.

Bowers College of Computing and Information Science, the Cornell SC Johnson College of Business and the College of Arts and Sciences, and a senior author on both papers. “But those claims aren’t necessarily accurate – and even arguments built on accurate claims can still mislead by omission.” The researchers reported these findings Dec. 4 in two papers published simultaneously, “Persuading Voters Using Human-Artificial Intelligence Dialogues,” in Nature, and “The Levers of Political Persuasion with Conversational Artificial Intelligence,” in Science. In the Nature study, Rand, along with co-senior author Gordon Pennycook, associate professor of psychology and the Dorothy and Ariz Mehta Faculty Leadership Fellow in the College of Arts and Sciences, and colleagues, instructed... They randomly assigned participants to engage in a back-and-forth text conversation with a chatbot promoting one side or the other and then measured any change in the participants’ opinions and voting intentions.

The researchers repeated this experiment three times: in the 2024 U.S. presidential election, the 2025 Canadian federal election and the 2025 Polish presidential election. AIs are equally persuasive when they’re telling the truth or lying People conversing with chatbots about politics find those that dole out facts more persuasive than other bots, such as those that tell good stories. But these informative bots are also prone to lying. Laundry-listing facts rarely changes hearts and minds – unless a bot is doing the persuading.

Briefly chatting with an AI moved potential voters in three countries toward their less preferred candidate, researchers report December 4 in Nature. That finding held true even in the lead-up to the contentious 2024 presidential election between Donald Trump and Kamala Harris, with pro-Trump bots pushing Harris voters in his direction, and vice versa. The most persuasive bots don’t need to tell the best story or cater to a person’s individual beliefs, researchers report in a related paper in Science. Instead, they simply dole out the most information. But those bloviating bots also dole out the most misinformation. Political operations may soon deploy a surprisingly persuasive new campaign surrogate: a chatbot that’ll talk up their candidates.

According to a new study published in the journal Nature, conversations with AI chatbots have shown the potential to influence voter attitudes, which should raise significant concern over who controls the information being shared... Researchers, led by David G. Rand, Professor of Information Science, Marketing, and Psychology at Cornell, ran experiments pairing potential voters with a chatbot designed to advocate for a specific candidate for several different elections: the 2024 US presidential election... They found that while the chatbots were able to slightly strengthen the support of a potential voter who already favored the candidate that the bot was advocating for, chatbots persuading people who were initially... For the US experiment, the study tapped 2,306 Americans and had them indicate their likelihood of voting for either Donald Trump or Kamala Harris, then randomly paired them with a chatbot that would push... Similar experiments were run in Canada, with the bots tasked with backing either Liberal Party leader Mark Carney or the Conservative Party leader Pierre Poilievre, and in Poland with the Civic Coalition’s candidate Rafał...

In all cases, the bots were given two primary objectives: to increase support for the model’s assigned candidate and to either increase voting likelihood if the participant favors the model’s candidate or decrease voting... Each chatbot was also instructed to be “positive, respectful and fact-based; to use compelling arguments and analogies to illustrate its points and connect with its partner; to address concerns and counter arguments in a... While the researchers found that the bots were largely unsuccessful in either increasing or decreasing a person’s likelihood to vote at all, they were able to move a voter’s opinion of a given candidate,... The last decade taught us painful lessons about how social media can reshape democracy: misinformation spreads faster than truth, online communities harden into echo chambers, and political divisions deepen as polarization grows. Now, another wave of technology is transforming how voters learn about elections—only faster, at scale, and with far less visibility. Large language models (LLMs) like ChatGPT, Claude, and Gemini, among others, are becoming the new vessels (and sometimes, arbiters) of political information.

Our research suggests their influence is already rippling through our democracy. LLMs are being adopted at a pace that makes social media uptake look slow. At the same time, traffic to traditional news and search sites has declined. As the 2026 midterms near, more than half of Americans now have access to AI, which can be used to gather information about candidates, issues, and elections. Meanwhile, researchers and firms are exploring the use of AI to simulate polling results or to understand how to synthesize voter opinions. These models may appear neutral—politically unbiased, and merely summarizing facts from different sources found in their training data or on the internet.

At the same time, they operate as black boxes, designed and trained in ways users can’t see. Researchers are actively trying to unravel the question of whose opinions LLMs reflect. Given their immense power, prevalence, and ability to “personalize” information, these models have the potential to shape what voters believe about candidates, issues, and elections as a whole. And we don’t yet know the extent of that influence. A massive study of political persuasion shows AIs have, at best, a weak effect. Roughly two years ago, Sam Altman tweeted that AI systems would be capable of superhuman persuasion well before achieving general intelligence—a prediction that raised concerns about the influence AI could have over democratic elections.

To see if conversational large language models can really sway political views of the public, scientists at the UK AI Security Institute, MIT, Stanford, Carnegie Mellon, and many other institutions performed by far the... It turned out political AI chatbots fell far short of superhuman persuasiveness, but the study raises some more nuanced issues about our interactions with AI. The public debate about the impact AI has on politics has largely revolved around notions drawn from dystopian sci-fi. Large language models have access to essentially every fact and story ever published about any issue or candidate. They have processed information from books on psychology, negotiations, and human manipulation. They can rely on absurdly high computing power in huge data centers worldwide.

On top of that, they can often access tons of personal information about individual users thanks to hundreds upon hundreds of online interactions at their disposal. Talking to a powerful AI system is basically interacting with an intelligence that knows everything about everything, as well as almost everything about you. When viewed this way, LLMs can indeed appear kind of scary. The goal of this new gargantuan AI persuasiveness study was to break such scary visions down into their constituent pieces and see if they actually hold water.

Ai Chatbots Can Sway Voters With Remarkable Ease Is It Time To Worry

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